TY - GEN
T1 - Dynamic spectrum auction with time optimization in cognitive radio networks
AU - Wu, Guangen
AU - Ren, Pinyi
AU - Du, Qinghe
PY - 2012
Y1 - 2012
N2 - Dynamic spectrum auction has been considered as one of potential approaches on spectrum allocation in cognitive radio networks. As an modified version of traditional static or quasi-static spectrum auction, dynamic spectrum auction should not only increase the auction revenue of the owner of spectrum, but also improve spectrum utilization on fine time granularity. We propose a dynamic spectrum auction algorithm with time optimization (DSA-TO) in 802.22 networks. First, the effects of auction period on auction revenue and spectrum utilization are argued and optimized. Then we give a complete spectrum auction procedure where an adaptive reservation price is used to balance the revenue and utilization of spectrum auction. Performance analyses show that the DSA-TO algorithm can resist collusion effectively and has low complexity as well as good revenue and utilization. Simulation results show that the DSA-TO algorithm is reasonable in the optimization of auction period and can keep a fine spectrum utilization and bring more revenue for both single unit spectrum auction and multi-unit spectrum auction.
AB - Dynamic spectrum auction has been considered as one of potential approaches on spectrum allocation in cognitive radio networks. As an modified version of traditional static or quasi-static spectrum auction, dynamic spectrum auction should not only increase the auction revenue of the owner of spectrum, but also improve spectrum utilization on fine time granularity. We propose a dynamic spectrum auction algorithm with time optimization (DSA-TO) in 802.22 networks. First, the effects of auction period on auction revenue and spectrum utilization are argued and optimized. Then we give a complete spectrum auction procedure where an adaptive reservation price is used to balance the revenue and utilization of spectrum auction. Performance analyses show that the DSA-TO algorithm can resist collusion effectively and has low complexity as well as good revenue and utilization. Simulation results show that the DSA-TO algorithm is reasonable in the optimization of auction period and can keep a fine spectrum utilization and bring more revenue for both single unit spectrum auction and multi-unit spectrum auction.
UR - https://www.scopus.com/pages/publications/84878948047
U2 - 10.1109/VTCFall.2012.6398966
DO - 10.1109/VTCFall.2012.6398966
M3 - 会议稿件
AN - SCOPUS:84878948047
SN - 9781467318815
T3 - IEEE Vehicular Technology Conference
BT - 2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
T2 - 76th IEEE Vehicular Technology Conference, VTC Fall 2012
Y2 - 3 September 2012 through 6 September 2012
ER -